Triple
T16330179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Antheil |
E396529
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bad Boy of Music |
E1206578
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bad Boy of Music | Statement: [George Antheil, notableWork, Bad Boy of Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Boy of Music Context triple: [George Antheil, notableWork, Bad Boy of Music]
-
A.
Bad Boy of Music
chosen
Bad Boy of Music is the autobiographical book by American avant-garde composer George Antheil, recounting his provocative life and radical musical career in the early 20th century.
-
B.
Bad Boy
Bad Boy is a 1949 American crime drama film about a troubled juvenile delinquent given a final chance at reform.
-
C.
American Bad Boy
American Bad Boy is an independent urban drama film featuring Torrei Hart in a prominent role.
-
D.
Mr. Bad Guy
Mr. Bad Guy is Freddie Mercury’s 1985 debut solo studio album, showcasing his distinctive vocals in a blend of pop, rock, and disco influences.
-
E.
Trouble Maker
Trouble Maker is a punk rock song by the American band Rancid, known for its fast tempo, gritty vocals, and politically charged lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4debef08190a64f13214bfa098f |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002da915ac8190820acbe0db72c8a1 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.